National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 1. Area of Application and Regulatory References The program of the discipline sets the minimum requirements for knowledge and skills of sociology students and determines the content and the forms of educational activities and assessment. The program is designed for the instructors of the “Applied Software in Sociology course,” teaching assistants and students of sociology (Bachelor Program 040200.62 "Sociology"). The program of the “Applied Software in Sociology” course has been developed in accordance with: Educational standards of NRU HSE for bachelor level education, approved by the Academic Council of NRU HSE (record #15 dated 02.07.2010). URL: http://spb.hse.ru/umuspb/structure%20standards-hse Educational Program of NRU HSE for bachelor level education, area of studies 040100.62 "Sociology. University Academic Plan of NRU HSE – Saint Petersburg for Bachelor level education, 040100.62 "Sociology” area of studies, the 2rd year of education. 2. Course Goals The goal of the " Applied Software in Sociology” course is to provide sociology students with the basic concepts and practical skills for efficient application of statistical techniques of quantitative analysis of sociological data. Therefore, the aims of the course are 1) To introduce students to the peculiarities of MS Office software package, which is a useful tool for sociological analysis and research. 2) To present the key issues and methods of current quantitative sociological research in IBM SPSS Statistics. 3) To familiarize students with some R basics and procedures. 4) To develop practical skills in conducting quantitative data analysis. 5) To teach students the basics of research, project presentation, including graphics. 3. Students' competencies to be developed by the course As a result of studying the discipline a student is expected to: Know: National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level The specifics of different measurement levels and differences among analytical tools, applications for data measured by different types of scales; The capabilities and limitations of the methods of mathematical statistics that are discussed in the course; Various sampling plans and their application; Be able: To interpret statistical and sociological indicators, indexes, the results of analyses, presented in charts and graphs, produced by MS Office and SPSS and discussed throughout the course; To draw tables, charts and graphs in Excel, SPSS and R, presenting the results of statistical analyses and writing an interpretation in the analytical report on the sociological study in accordance with the requirements for the scientific work; The course develops the following competencies: Competencies NRUHSE Code Descriptors – the learning outcomes (the indicators of achievement) Forms and methods of studies that contribute to the development of a competency A student communicates in English with other students, demonstrates cooperation and contributes to group discussions. A student has skills of oral and written communication in English on professional topics. A student is able to use the information that he/she got from English-language literature sources to support his or her point of view. A student is able to work with different sources of sociological and statistical information: webpages, data sets, secondary sociological data, academic and Lectures, seminar and practical sessions in computer classes, homework assignments. Presentation and discussion of group analytical projects. Participation in preparation of group presentations and/or being a speaker for the research team. The graduate should have such general culture competences (GC), as: The preparedness to cooperate with colleagues and to work in GC-3 a team. The ability to apply fundamental ideas and methods of liberal arts, social and economic sciences in order to solve professional GC-9 Lectures, seminar and practical sessions in computer classes, readings, homework assignments, designing a project, National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level problems. The ability to analyze socially important issues and GC-10 processes. The ability to use the basic laws of the natural sciences in professional activities, apply methods of mathematical GC-11 analysis and modeling, theoretical and experimental research. The ability to work with information in the global computer networks. GC-14 study literature sources. A student demonstrates the ability to solve research problems, applying the knowledge of modern theory in social sciences and comparative methodology. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student demonstrates the ability to solve research issues applying the knowledge of modern theory of social sciences and comparative methodology. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student demonstrates the ability to solve research issues applying the knowledge of modern theory in social sciences and comparative methodology. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student can use Internet resources and search for relevant information, sources of sociological and statistical information: web-pages, data sets, secondary sociological data, academic and study literature sources. A student is able to identify the need for relevant information and perform online and library searches to find that information. A student can work with open and archived data sources of sociological survey data. performing statistical analysis and writing analytical report on own project research. Lectures, seminars and practical sessions in computer classes, reading, homework assignments, writing analytical report on own project research. Lectures, seminars and practical sessions in computer classes, readings, homework assignments, doing statistical analyses and writing analytical reports. Lectures, seminars and lab sessions in computer class, reading,s homework assignments, designing a project, writing analytical report on the research. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level A student is able to perform statistical analysis both using online built-in facilities of sociological data archives ,websites and PC-installed SPSS. The graduate should have in research activity: such general professional competences (PC), as: The ability to independently A student has skills of oral and formulate the objectives, written communication in English outline specific research tasks on professional topics. in various fields of sociology A student is able to work with and solve them with the help different sources of sociological of modern research methods, and statistical information. applying the latest Russian A student demonstrates ability to and international experience solve research issues applying the PC-2 and modern facilities, gadgets, knowledge of modern theory in and information technologies. social sciences and comparative methodology. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. The ability and readiness to A student is able to use English participate in writing and literature to prepare for lectures, processing of scientific and seminars, practical classes and technical documentation, home assignments. research reports, presenting A student has skills of oral and the results of research and written communication in English taking into account the on professional topics. characteristics of a potential A student is able to work with audience. different sources of sociological and statistical information: webpages, data sets, secondary PC-3 sociological data, academic and study literature sources. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student is able to apply methods of statistical analysis for research of social and economic problems using SPSS. Lectures, seminars and practical sessions in computer classes, readings, homework assignments, elaboration and fulfillment of an own research project. Lectures, seminars and practical sessions in computer classes, readings, homework assignments, writing an analytical report. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level A student can interpret the results of the statistical analysis and make conclusions. A student can make tables and graphs presenting the results of statistical analysis. A student knows the requirements for writing both academic and business analytical reports. in project activity: The ability to prepare and A student is able to use English present scientific research and literature to prepare for lectures, analytical projects in seminars, practical classes and accordance with normative home assignments. documents. A student has skills of oral and written communication in English on professional topics. A student is able to work with different sources of sociological and statistical information: webpages, data sets, secondary sociological data, academic and study literature sources. A student is able to use the information that he/she got from English-language literature sources to support his or her point PC-7 of view. A student demonstrates the ability to solve research issue,s applying the knowledge of modern theory in social sciences and comparative methodology. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student knows the requirements for writing both academic and commercial analytical reports. A student is able to meet the requirements for information security in his research work. The ability to process and A student is aware of existing PC-8 analyze data in order to methods of statistical analysis Lectures, seminars and practical sessions in computer classes, readings, homework assignments, writing an analytical report. Lectures, seminars and practical sessions in National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level produce analytical solutions, expert advice and recommendations. applied in sociology and is able to computer classes, readings, use them in his or her professional homework assignments, research. writing an analytical report. A student is able to apply methods of statistical analysis for research of social and economic problems using SPSS. A student can interpret the results of the statistical analysis and make conclusions. A student knows the requirements for writing both academic and business analytical reports. A student is able to meet the requirements for information security in his research work. in the organizational and administrative activity: The ability to use basic A student is able to use English Lectures, seminar and knowledge of the theory as literature to prepare for lectures, practical sessions in well as practical skills in order seminars, practical classes and computer classes, reading, to participate in research, home assignments. homework assignments, analytical and consulting A student has skills of oral and performing statistical activities. written communication in English analysis and writing on professional topics. analytical report on own A student is able to work with project research. different sources of sociological and statistical information: webpages, data sets, secondary sociological data, academic and study literature sources. A student is able to use the PC-10 information that he/she got from English-language literature sources to support his or her point of view. A student can set up research goals and implement a research design in study of various social problems in comparative perspective. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student is able to apply methods National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level The ability of using methods of gathering, processing and interpretation of the complex social data in order to solve managerial and organizational issues including those outside a direct sphere of activity. PC-11 of statistical analysis for research of social and economic problems using SPSS. A student knows the requirements for writing both academic and commercial analytical reports. A student is able to meet the requirements for information security in his research work. A student is able to use English literature to prepare for lectures, seminars, practical classes and home assignments. A student has skills of oral and written communication in English on professional topics. A student is able to work with different sources of sociological and statistical information: webpages, data sets, secondary sociological data, academic and study literature sources. A student is able to use the information that he/she got from English-language literature sources to support his or her point of view. A student is aware of existing methods of statistical analysis applied in sociology and is able to use them in his or her professional research. A student is able to apply methods of statistical analysis for research of social and economic problems using SPSS. A student can interpret the results of the statistical analysis and make conclusions. A student knows the requirements for writing both academic and business analytical reports. A student is able to meet the requirements for information security in his research work. Lectures, seminars and practical sessions in computer classes, reading, homework assignments, performing statistical analysis and writing analytical report on own project research. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 4. How the Course Fits into the Curriculum The present course is an essential part of the curriculum and the successful mastering of it is crucial for the development of the competencies for research work. The “Applied Software in Sociology” is a required course within the Basic Syllabus for the area of studies 040100.62 "Sociology" for Bachelor level program at the Higher School of Economics. The course has the following prerequisites (at the bachelor level): Mathematics The Course requires the following students' competencies and knowledge: Basic knowledge of MS office The main provisions of the course should be used for further studies of the following courses: Data Analysis Scholarly Research Seminar Advanced Methods of Data Analysis Economic Sociology National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 5. Thematic plan of the course The course is organized in 12 topics: 17 seminars and 16 practical workshops in computer classes. This course is built around practical tasks, which are common for the process of applied social research. Classroom Activities № 1 2 3 4 5 6 7 8 9 10 11 12 Topic The brief history of applied software usage in sociological research in Russia. BMDP, SAS, SPSS, Statistica, R. Inputting, checking and editing data in Excel. R: Data input/output and simple operations R: Data structures and graphics R: Data transformations SPSS: Data import, export, recoding, computing, and checking. SPSS: Descriptive statistics. SPSS: Cross-tabulation, Chi-square and measures of association for nominal and ordinal variables. Diagrams and graphs. MS Office: Common types of diagrams. SPSS: Comparing means: t-test and ANOVA. SPSS: Correlations for ordinal and interval variables. SPSS: Linear regression models. Total: Total amount of hours SelfSemin Practical Study ars sessions 6 2 2 2 12 12 12 12 2 2 2 2 2 2 2 2 8 8 8 8 12 2 2 8 12 2 2 8 16 4 4 8 12 12 2 2 2 2 8 8 12 2 2 8 22 152 10 34 8 32 14 96 National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 6. Tests and control tasks Type of control Current (week) Form of control Class activity, recorded as entries into The Journal of Class Participation Intermediate Written inclass test Final Written inclass test Modules 1 2 3 4 x x x x x x Requirements Students are expected to read and analyze assigned literature and be able to participate in discussions in class. Test includes assignments dealing with the topics covered in the first two modules. Test includes assignments dealing with the topics covered in the whole course. 7. Grading criteria Students’ final grade for the course is determined by their compliance with the course requirements and the overall performance in the course. Final grade is made of the grades for 1. Home assignments throughout the course. 2. The intermediary written test 3. The final written test The final grade accounts for the results of a student’s performance as follows: G final = 0,1*G class participation + 0,4*G intermediate test + 0,5*G final test Rounding procedure for the grades is following: if the score, which is calculated by the formula above, is greater than or equal to the arithmetic mean between the nearest integer values, then the higher of the nearest integer value is taken, otherwise – the lower of the nearest integer values is used. 8. The Course Content Topic 1. The brief history of applied software usage in sociological research in Russia. BMDP, SAS, SPSS, Statistica, R. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level “Pre-computer” period in Russian sociology. Some examples of formulae for manual computations. BMDP – the first integrated applied software package. Brief comparative overview of SAS, SPSS, Statistica, Stata packages. R – the first successful non-commercial open-source package. Core readings: Крыштановский А.О. Анализ социологических данных с помощью пакета SPSS. Издательский дом ГУ-ВШЭ. 2006. Topic 2. Inputting, checking and editing data in Excel. Data types and common formats of coding. Coding of single-choice and multiple-choice questions. Coding and inputting of open-ended questions. Data base creation and management. Core readings: John Walkenbach. 101 Excel 2013 Tips, Tricks and Timesavers – Wiley, 2013 Additional readings: Greg Harvey. Excel 2013 All-in-One For Dummies - For Dummies City, 2013 Topic 3. R: Data input/output and simple operations Starting R. Data input/output. Working with files and scripts. Installing packages. R as a calculating environment. Simple commands. Exiting R. Core readings: Jones, O. (2009). Introduction to scientific programming and simulation using R. Boca Raton, FL: Chapman & Hall/CRC. Additional readings: Kabacoff, Robert. R in Action - Manning Publications, 2011 Зарядов И.С. Введение в статистический пакет R. М., изд-во РУДН, 2010. Topic 4. R: Data structures and graphics Types of objects in R: numeric (integer, double), complex, logical, character, raw. Special variables. Data types: vector, factor, matrix, list and data frames. Working with different data types. Core readings: Jones, O. (2009). Introduction to scientific programming and simulation using R. Boca Raton, FL: Chapman & Hall/CRC. Additional readings: Kabacoff, Robert. R in Action - Manning Publications, 2011 Зарядов И.С. Введение в статистический пакет R. М., изд-во РУДН, 2010. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level Topic 5. R: Data transformations Data transformations. Data sorting, indexing, filtering, conditional manipulations. Core readings: Jones, O. (2009). Introduction to scientific programming and simulation using R. Boca Raton, FL: Chapman & Hall/CRC. Additional readings: Kabacoff, Robert. R in Action - Manning Publications, 2011 Зарядов И.С. Введение в статистический пакет R. М., изд-во РУДН, 2010. Topic 6. SPSS: Data import, export, recoding, computing, and checking. Data import from MS Excel into SPSS. Defining variables. Variable names. Variable types in SPSS. Adding variable names. Adding values names. Variables descriptions in SPSS. Data transformation: Recode and Compute procedures. Merging data files. Using weights. Changing and adjusting scales. Binary and dummy variables. Converting multiple-choice variables into sets of dummies. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Pallant, Julie, (2010) SPSS Survival Manual – A Step by Step Guide to Data Analysis Using the SPSS Program, 4th Edition -Allen & Unwin Topic 7. SPSS: Descriptive statistics. Frequencies. Quartiles. Estimating central tendency: mode, median, mean. Estimating spread: range, variance, standard deviation. Skewness and kurtosis. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Pallant, Julie, (2010) SPSS Survival Manual – A Step by Step Guide to Data Analysis Using the SPSS Program, 4th Edition - Allen & Unwin Tabachnick Barbara G, Linda S. Fidell., (2013) Using Multivariate Statistics (6th Edition) Pearson. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level Topic 8. SPSS: Cross-tabulation, Chi-square and measures of association for nominal and ordinal variables. Diagrams and graphs. Basics of statistical inference. Null and alternative hypotheses. Statistical inference for the difference of proportions. Chi-square test for independence of two categorical (nominal) variables. Degrees of freedom notion. Two-dimensional scatter-plot. Z-test for proportions. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Lynch Scott M., (2013) Using Statistics in Social Research – A Concise Approach -Springer New York Griffith, Arthur, (2010) SPSS For Dummies 2nd Edition - Wiley. Topic 9. MS Office: Common types of diagrams. Fitting diagram types for data. Bar charts. Histograms. Pie-charts. What makes diagrams readable. Preparing data for diagrams and graphs. Typical mistakes in graphical representations. Core readings: Mamishev, Alexander, (2013) Murray Sargent-Creating Research and Scientific Documents Using Microsoft Word-Microsoft Press Additional readings: Kolenikov, Stanislav, Lori A. Thombs, Douglas Steinley, (2010) Statistics in the Social Sciences: Current Methodological Developments - Wiley. Topic 10. SPSS: Comparing means: t-test and ANOVA. Z-test and T-test comparison. T-test for independent samples and paired-samples T-test. Levene test for equality of variances. Interpretation of confidence intervals. One-way ANOVA: assumptions and sum of square interpretation. F-criterion: inference and interpretation. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Lynch Scott M., (2013) Using Statistics in Social Research – A Concise Approach -Springer New York National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level Ho, Robert, (2006) Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS – Taylor and Francis Topic 11. SPSS: Correlations for ordinal and interval variables. Pearson’s R for interval data: explanation of formula, assumptions and limitations. Kendall and Spearman’s correlation coefficients for ordinal variables. Partial correlation. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Kolenikov, Stanislav, Lori A. Thombs, Douglas Steinley, (2010) Statistics in the Social Sciences: Current Methodological Developments - Wiley. Krzanowski, Wojtek J., (2007) Statistical Principles and Techniques in Scientific and Social Research - Oxford University Press Topic 12. SPSS: Linear regression models. Linear regression OLS: assumptions and requirements for dependent and independent variables. Interpretation of scatter-plots. Testing for homoscedasticity and heteroscedasicity. Interpretation of scatter-plots. R-squared interpretation. Interpretation of unstandardized and standardized regression coefficient and intercept. Multicollinearity diagnostics. Nested models. Core readings: Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Additional readings: Agresti Alan, Christine Franklin., (2012) Statistics – The Art and Science of Learning from Data (3rd Edition) Pearson. Tabachnick Barbara G, Linda S. Fidell., (2013) Using Multivariate Statistics (6th Edition) Pearson. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 9. Educational Technologies The course syllabus, reading texts, presentations, practical tasks and home assignments will be available in the LMS where all student will be assigned, and also sent by e-mail on demand. Students are expected to log in to the course web-site on a regular basis. 10. Information basis for the course 10.1. Core Textbooks Field Andy P., (2011) Discovering statistics using SPSS: (and sex and drugs and rock 'n' roll) (3rd edition) Sage. Available in electronic format. Walkenbach, John -101 Excel 2013 Tips, Tricks and Timesavers (2013) –Wiley Jones, O. (2009). Introduction to scientific programming and simulation using R. Boca Raton, FL: Chapman & Hall/CRC. 10.2. Internet resources: European Social Survey. http://www.europeansocialsurvey.org European Values Study. http://www.europeanvaluesstudy.eu Field A. Discovering Statistics Using IBM SPSS Statistics. Companion Web-site. http://www.uk.sagepub.com/field4e Field A. Discovering Statistics Using IBM SPSS Statistics (and Sex and Drugs and Rock 'n' Roll). Personal web-site. http://www.statisticshell.com/html/dsus.html SPSS Tutorials. The London School of Economics and Political Science. http://www.lse.ac.uk/methodology/tutorials/SPSS/home.aspx SPSS Software http://www-01.ibm.com/software/analytics/spss The R Project for Statistical Computing http://www.r-project.org/ UNdata. http://data.un.org World Bank Open Data. http://data.worldbank.org 10.3. Supplementary Reading Adler, J. (2010). R in a nutshell. Sebastopol, CA: O'Reilly. Agresti Alan, Christine Franklin., (2012) Statistics – The Art and Science of Learning from Data (3rd Edition) Pearson. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level Agresti, Alan, Barbara Finlay (2009) Statistical Methods for the Social Sciences, Fourth ed. Prentice Hall Bucki Lisa A., (2013) Microsoft Word 2013 Bible -Wiley Kabacoff, Robert. R in Action - Manning Publications, 2011 Cleophas, Ton J., Aeilko H. Zwinderman (2012) SPSS for Starters, Part 2 (SpringerBriefs in Statistics) -Springer Cramer, Duncan, Dennis Laurence Howitt (2004) The SAGE Dictionary of Statistics: A Practical Resource for Students in the Social Sciences - SAGE Creswell J.W. (2013) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications. Dodge, Yadolah, (2009) Concise Encyclopedia of Statistics - Springer Graham, John W., (2012) Missing Data Analysis and Design (Statistics for Social and Behavioral Sciences) -Springer Griffith, Arthur, (2010) SPSS For Dummies 2nd Edition - Wiley. Hans-Michael Kaltenbach, Hans-Michael., (2011) A Concise Guide to Statistics (SpringerBriefs in Statistics) -Springer Ho, Robert, (2006) Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS – Taylor and Francis Kolenikov, Stanislav, Lori A. Thombs, Douglas Steinley, (2010) Statistics in the Social Sciences: Current Methodological Developments - Wiley. Krzanowski, Wojtek J., (2007) Statistical Principles and Techniques in Scientific and Social Research - Oxford University Press. Lynch Scott M., (2013) Using Statistics in Social Research – A Concise Approach -Springer New York Mamishev, Alexander, (2013) Murray Sargent-Creating Research and Scientific Documents Using Microsoft Word-Microsoft Press Pallant, Julie, (2010) SPSS Survival Manual – A Step by Step Guide to Data Analysis Using the SPSS Program, 4th Edition -Allen & Unwin Rossiter, John R., (2010) Measurement for the Social Sciences - The C-OAR-SE Method and Why It Must Replace Psychometrics -Springer Tabachnick Barbara G, Linda S. Fidell., (2013) Using Multivariate Statistics (6th Edition) Pearson. Teetor, Paul. (2011). R Cookbook. Sebastopol, CA: O'Reilly Media. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level Urdan, Timothy C., (2010) Statistics in Plain English, 3rd Edition - Routledge Valliant, Richard, Jill A. Dever, Frauke Kreuter (auth.) (2013) Practical Tools for Designing and Weighting Survey Samples (Statistics for Social and Behavioral Sciences 51) -Springer New York Бююль А., Цефель П. SPSS: искусство обработки информации, анализ статистических данных и восстановление скрытых закономерностей. DiaSoft, 2002. Зарядов И.С. Введение в статистический пакет R. М., изд-во РУДН, 2010. Крыштановский А.О. Анализ социологических данных с помощью пакета SPSS. М.: Издательский дом ГУ-ВШЭ, 2007. Многомерный статистический анализ в экономических задачах: компьютерное моделирование в SPSS: Учебное пособие / Под редакцией И.В. Орловой. – М.: Вузовский учебник, 2011. – 310 с. Наследов А.Д. Математические методы психологического исследования. Анализ и интерпретация данных. Учебное пособие. 4-е издание, стереотип. – СПЮ.: Речь, 2012. – 392 с. Наследов А. IBM SPSS Statistics и AMOS: профессиональный статистический анализ данных. – Спб: Питер, 2013. – 416 с. Резник А.Д. Книга для тех, кто не любит статистику, но вынужден ею пользоваться. Непараметрическая статистика в примерах, упражнениях и рисунках. – СПб.: Речь, 2008 – 265 с. Толстова Ю.Н. Математико-статистические модели в социологии. Математическая статистика для социологов. М.: Издательский дома ГУ ВШЭ, 2007 10.4. Software packages Students need the following software, provided in HSE computer clusters: IBM SPSS Statistics 19 – 22 Microsoft Office 2010 or 2013 R or RStudio 11. Technical support Each lecture, seminar and practical session is supported by PowerPoint presentations, shown by OHP projector or via PC screen (in computer class). Seminars and practical sessions are held in a fully-equipped computer class with personal computers available to every student in the group. National Research University – Higher School of Economics Syllabus for the Course “Applied Software in Sociology” Area of studies 040100.62 "Sociology" Bachelor level 12. Academic Integrity Each student in this course is expected to abide by the Higher School of Economics’ Academic Honesty Policy. For this course, collaboration is allowed for pairs and work groups during seminars (Modules 1 – 4). Both in-class and home tests should be performed individually. 13. Accommodations for Students with Disabilities The Higher School of Economics is committed to ensuring equal academic opportunities and inclusion for students with disabilities based on the principles of independent living, accessible universal design, and diversity. The instructor is available to discuss appropriate academic accommodations that may be required for student with disabilities. Requests for academic accommodations are to be made during the first three weeks of the semester, except for unusual circumstances. Students are encouraged to register with Disability Services Center to verify their eligibility for appropriate accommodations.